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Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts.
Anatürk, Melis; Patel, Raihaan; Ebmeier, Klaus P; Georgiopoulos, Georgios; Newby, Danielle; Topiwala, Anya; de Lange, Ann-Marie G; Cole, James H; Jansen, Michelle G; Singh-Manoux, Archana; Kivimäki, Mika; Suri, Sana.
Afiliación
  • Anatürk M; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
  • Patel R; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Ebmeier KP; Department of Psychiatry, University of Oxford, Oxford, UK mohammed.patel@psych.ox.ac.uk.
  • Georgiopoulos G; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
  • Newby D; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Topiwala A; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • de Lange AG; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Cole JH; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Jansen MG; Big Data Institute, University of Oxford, Oxford, UK.
  • Singh-Manoux A; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Kivimäki M; Department of Clinical Neurosciences, University of Lausanne, Lausanne, Switzerland.
  • Suri S; Department of Psychology, University of Oslo, Oslo, Norway.
BMJ Ment Health ; 26(1)2023 Jul.
Article en En | MEDLINE | ID: mdl-37603383
BACKGROUND: Current dementia risk scores have had limited success in consistently identifying at-risk individuals across different ages and geographical locations. OBJECTIVE: We aimed to develop and validate a novel dementia risk score for a midlife UK population, using two cohorts: the UK Biobank, and UK Whitehall II study. METHODS: We divided the UK Biobank cohort into a training (n=176 611, 80%) and test sample (n=44 151, 20%) and used the Whitehall II cohort (n=2934) for external validation. We used the Cox LASSO regression to select the strongest predictors of incident dementia from 28 candidate predictors and then developed the risk score using competing risk regression. FINDINGS: Our risk score, termed the UK Biobank Dementia Risk Score (UKBDRS), consisted of age, education, parental history of dementia, material deprivation, a history of diabetes, stroke, depression, hypertension, high cholesterol, household occupancy, and sex. The score had a strong discrimination accuracy in the UK Biobank test sample (area under the curve (AUC) 0.8, 95% CI 0.78 to 0.82) and in the Whitehall cohort (AUC 0.77, 95% CI 0.72 to 0.81). The UKBDRS also significantly outperformed three other widely used dementia risk scores originally developed in cohorts in Australia (the Australian National University Alzheimer's Disease Risk Index), Finland (the Cardiovascular Risk Factors, Ageing, and Dementia score), and the UK (Dementia Risk Score). CLINICAL IMPLICATIONS: Our risk score represents an easy-to-use tool to identify individuals at risk for dementia in the UK. Further research is required to determine the validity of this score in other populations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bancos de Muestras Biológicas / Demencia Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa / Oceania Idioma: En Revista: BMJ Ment Health Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bancos de Muestras Biológicas / Demencia Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa / Oceania Idioma: En Revista: BMJ Ment Health Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido